Portable fish shape and weight information collection method and system

Abstract

The present invention discloses a portable method and system for collecting fish shape and weight information, which relates to the technical field of fish shape and weight. The present invention comprises the following steps: one, shape measurement and analysis; two, weight collection and analysis; and three, data processing. The system can identify the various stages of fish in an aquaculture area, intuitively understand the growth rate and change trend of fish in different growth stages, and help to promptly discover individuals or groups with abnormal growth. Farmers can promptly understand whether the fish have sufficient growth space and adjust the breeding density in time to avoid health problems of fish caused by excessive density. It can also determine whether the growth status of each fish is abnormal, evaluate the living environment index of each fish in the aquaculture area, create more suitable living and growth conditions for fish, promote fish growth, and avoid slow growth or death of fish due to environmental discomfort.

Description

Technical Field

[0001] The present invention relates to the technical field of fish shape and weight, and in particular to a portable method and system for collecting fish shape and weight information. Background Art

[0002] In fishery resource research, researchers also require large amounts of accurate data on fish shape and weight for population structure analysis, ecosystem assessment, and the development of species conservation strategies. However, existing methods for collecting fish information have significant flaws. Traditional manual measurement methods, such as using a ruler to measure body length and a caliper to measure body width, are not only cumbersome and inefficient, but also prone to measurement errors due to human manipulation. This error is particularly pronounced when measuring fish with irregular shapes. Therefore, it is necessary to analyze a portable method and system for collecting fish shape and weight information.

[0003] Existing technology, such as the invention patent application CN116862417A, discloses an IoT-based aquaculture monitoring system. Water quality is a key factor in the success of aquaculture. However, measuring water quality at a single level in aquaculture cannot guarantee water quality across the entire farm. This invention significantly improves the accuracy and reliability of water quality testing results by dividing the water area and conducting water quality testing at different depths. This, in turn, facilitates water quality regulation and provides a reliable foundation for subsequent aquaculture operations.

[0004] The existing technology for a portable method and system for collecting fish shape and weight information can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects: First, the existing technology does not conduct in-depth analysis of the shape growth compliance index and weight growth compliance index of various fish in aquaculture areas. Without understanding the growth patterns of fish shape and weight, it is difficult to judge whether the breeding density is appropriate. Too high density limits the fish's activity space, slows down the growth rate, and increases the risk of disease transmission. Too low density wastes breeding space, reduces breeding output, reduces the quality of the fish growth environment, increases breeding losses, and lacks timely implementation of corresponding treatment measures, resulting in the spread and spread of diseases, polluting water quality, and being detrimental to the healthy growth and development of fish.

[0005] Second, there is not much attention paid to the growth status index of various fish in aquaculture areas, and there is a lack of judgment on whether the growth status of various fish is abnormal, which reduces the accuracy of the living environment index of various fish in aquaculture areas, affects the environment in which fish grow, and thus affects the creation of more suitable living and growth conditions for fish, inhibits fish growth, reduces breeding output and quality, and thus affects the breeding environment, increases the occurrence of slow growth or death of fish due to environmental discomfort, and increases breeding costs. Summary of the Invention

[0006] The purpose of the present invention is to provide a portable method and system for collecting fish shape and weight information, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a portable method for collecting fish shape and weight information, including step one, shape measurement and analysis, step two, weight collection and analysis, and step three, data processing.

[0008] Step 1: Appearance measurement and analysis: Use a depth camera to record the three-dimensional appearance of each fish in the aquaculture area. Use image analysis software to import the collected images of each fish, and use the measurement tools in the software combined with the ruler on the background board to identify the various stages of each fish in the aquaculture area. Obtain the appearance data of each fish in the aquaculture area at each growth stage, and then analyze the appearance growth compliance index of each fish in the aquaculture area.

[0009] Step 2: Weight collection and analysis: The weight of each fish in the aquaculture area is recorded through the weighing system, and the weight impact data of each fish in the aquaculture area is obtained through the detection platform, so as to evaluate the weight growth compliance index of each fish in the aquaculture area.

[0010] Step 3: Data processing: Based on the obtained appearance growth compliance index and weight growth compliance index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is evaluated, and it is determined whether the growth status of each fish is abnormal. If abnormal, the growth abnormality data of each fish is obtained, the living environment index of each fish in the aquaculture area is evaluated, and environmental improvement treatment is carried out.

[0011] Furthermore, the identification of each stage of each fish in the aquaculture area is carried out, and the specific analysis method is as follows: three-dimensional images of each fish at each growth stage are stored in the data warehouse, and the three-dimensional images are cut to obtain the mouth shape, gill shape, back shape and tail shape, and the corresponding three-dimensional contours, shapes and scale distribution densities of each fish at each growth stage are matched, so as to identify the various stages of each fish in the aquaculture area.

[0012] Furthermore, the appearance growth compliance index of each fish in the aquaculture area is specifically analyzed by the following method: the appearance data of each fish in the aquaculture area at each growth stage include the spinal curvature deviation value, the number of scales falling off, the amount of mucus, and the gloss value of each fish at each growth stage; and the spinal curvature deviation compliance value interval, the scales falling off compliance interval, the mucus compliance interval, and the gloss compliance value interval of each fish in the aquaculture area at each growth stage are extracted from the database, and then the appearance growth compliance index of each fish in the aquaculture area is analyzed. The specific calculation formula is: , The first The first Shape data, Indicates the aquaculture area The safety interval of the shape data, , Indicates the number of the fish. , Expressed as the number of fish.

[0013] Furthermore, the weight growth index of each fish in the aquaculture area is analyzed in detail as follows: the weight impact data of each fish in the aquaculture area includes the living water quality data and living space data of each fish, and then the water quality impact value of each fish in the aquaculture area is analyzed. and spatial impact value , to evaluate the weight growth compliance index of each fish in the aquaculture area, the specific calculation formula is: .

[0014] Furthermore, the water quality impact value of the aquaculture area is specifically analyzed by the following method: based on the obtained survival water quality data of each fish in the aquaculture area, wherein the survival water quality data includes: the maximum water temperature, the minimum water temperature and the dissolved oxygen content in each time period, the maximum water temperature and the minimum water temperature of each fish in the aquaculture area in each time period are subjected to difference processing to obtain the survival water temperature difference of each fish in the aquaculture area in each time period, and the preset survival water temperature reference difference and dissolved oxygen reference content of each fish in the aquaculture area in each time period are extracted from the database to analyze the water quality impact value of each fish in the aquaculture area. The specific calculation formula is: ,in, Indicates the first The first The difference in water temperature during the survival period, Indicates the first The first The reference difference of water temperature for survival in each time period, Indicates the first The dissolved oxygen content required for the survival of fish species, Indicates the first The reference dissolved oxygen content for the survival of fish species, It is represented as the number of the time period. , Expressed as the number of time periods.

[0015] Furthermore, the spatial impact value of each fish in the aquaculture area is specifically analyzed by the following method: based on the obtained living space data of each fish in the aquaculture area, wherein the spatial data includes: the breeding density of each fish, the difference between the suitable breeding density of each fish is extracted from the database, and the breeding density of each fish in the aquaculture area is processed by difference processing with the suitable breeding density to analyze the spatial impact value of each fish in the aquaculture area. The specific calculation formula is: ,in, Indicates the first The difference in stocking density of fish species, Indicates the first The difference in reference density of fish stocks.

[0016] Furthermore, the growth status index of each fish in the aquaculture area is evaluated, and the specific calculation formula is: .

[0017] Furthermore, the specific analysis method for determining whether the growth status of each fish is abnormal is as follows: based on the obtained growth status index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is compared with the growth status index threshold of each fish in the aquaculture area extracted from the database; if the growth status index of a certain fish in the aquaculture area is less than the growth status index threshold of each fish in the aquaculture area, it means that the growth status of the fish is abnormal, and the abnormal growth status data of each fish is collected.

[0018] Furthermore, the living environment index of each fish in the aquaculture area is evaluated and the environmental improvement treatment is performed. The specific analysis method is as follows: the abnormal growth condition data of each fish includes the feeding frequency, the number of buoyancy and the gill filament integrity value of each fish, and the feeding frequency compliance interval, the buoyancy number compliance interval and the gill filament integrity value compliance interval of each fish in the aquaculture area are extracted from the database, and then the living environment index of each fish in the aquaculture area is analyzed. The specific calculation formula is: , The first The first Growth abnormality data, Indicates the aquaculture area The safety interval of abnormal growth data, .

[0019] When the living environment index of each fish in the aquaculture area is less than the living environment index threshold of each fish in the aquaculture area, the fish in the aquaculture area will be recorded as risk fish, and the risk fish set in the breeding area will be obtained by analysis. When the living environment index of each fish in the aquaculture area is greater than or equal to the living environment index threshold of each fish in the aquaculture area, the fish in the aquaculture area will be recorded as regular fish. When the appearance growth of each fish in the aquaculture area meets the index of -1, the fish in the aquaculture area will be recorded as regular fish, and the regular fish set in the breeding area will be obtained by analysis.

[0020] A set of suitable water environment indexes for risk fish and conventional fish in the aquaculture area is extracted from the database, and a set of water environment regulation parameters for the aquaculture area is predicted, wherein the set of water environment regulation parameters includes the regulation range of each water environment index.

[0021] The second aspect of the present invention provides a system for executing the portable fish shape and weight information collection method, characterized in that it includes: a shape measurement and analysis module: recording the three-dimensional shape of each fish in the aquaculture area through a depth camera, using image analysis software to import the collected images of each fish, and using the measurement tools in the software, combined with the ruler on the background board, to identify the various stages of each fish in the aquaculture area, obtain the shape data of each fish in the aquaculture area, and then analyze the shape growth compliance index of each fish in the aquaculture area.

[0022] Weight collection and analysis module: The weight of each fish in the aquaculture area is recorded through the weighing system, and the weight impact data of each fish in the aquaculture area is obtained through the detection platform, so as to evaluate the weight growth compliance index of each fish in the aquaculture area.

[0023] Data processing module: Based on the obtained appearance growth compliance index and weight growth compliance index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is evaluated, and it is determined whether the growth status of each fish is abnormal. If abnormal, the growth abnormality data of each fish is obtained, the living environment index of each fish in the aquaculture area is evaluated, and environmental improvement treatment is carried out.

[0024] The beneficial effects of the present invention are as follows: in step one, shape measurement and analysis, and step two, weight collection and analysis, the three-dimensional shape of each fish in the aquaculture area is recorded by a depth camera, each stage of each fish in the aquaculture area is identified, the shape growth compliance index of each fish in the aquaculture area is analyzed, and the weight of each fish in the aquaculture area is recorded by a weighing system, and the weight growth compliance index of each fish in the aquaculture area is evaluated. Combined with the shape growth compliance index analysis, the growth rate and change trend of fish in different growth stages can be intuitively understood, which is helpful to timely discover individuals or groups with abnormal growth. Combined with the weight growth compliance index, by monitoring the weight and analyzing the weight growth compliance index, the breeder can timely understand whether the growth space of the fish is sufficient, and can timely adjust the breeding density to avoid health problems of the fish caused by excessive density, provide a good growth environment for the fish, reduce breeding losses, and take corresponding treatment measures in time to prevent the spread and spread of diseases.

[0025] In step three, data processing: evaluate the growth status index of each fish in the aquaculture area, and determine whether the growth status of each fish is abnormal. If abnormal, evaluate the living environment index of each fish in the aquaculture area, accurately identify the environmental factors that affect the growth of fish, and carry out environmental improvement treatment to create more suitable living and growth conditions for fish, promote fish growth, improve breeding output and quality, adjust the breeding environment in time, avoid slow growth or death of fish due to environmental discomfort, thereby reducing the waste of breeding resources such as feed and water resources and reducing breeding costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 The figure is a flow chart of the steps for implementing the method of the present invention.

[0028] Figure 2 This is a schematic diagram of the system structure connection of the present invention.

[0029] Figure 3 This is a schematic diagram of the front appearance of the present invention.

[0030] Figure 4 This is a front view schematic diagram of the appearance of the present invention, wherein 1 is a handle, 2 is a camera, 3 is an eagle-eye light, 4 is a main body, 5 is a display screen, 6 is a folding plate, 7 is a weighing module, and 8 is an aluminum plate.

[0031] Figure 5 It is a side view schematic diagram of the present invention.

[0032] Figure 6 It is a schematic diagram of the top view of the present invention.

[0033] Figure 7 This is an example of image collection.

[0034] Figure 8 Example images annotated with fish keypoints.

[0035] Figure 9 This is an example of a precise 3D measurement image of fish. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0037] Reference Figure 1 As shown, the present invention provides a portable method for collecting fish shape and weight information, including: step one, shape measurement and analysis, step two, weight collection and analysis, and step three, data processing.

[0038] Step 1: Appearance measurement and analysis: Use a depth camera to record the three-dimensional appearance of each fish in the aquaculture area. Use image analysis software to import the collected images of each fish, and use the measurement tools in the software combined with the ruler on the background board to identify the various stages of each fish in the aquaculture area. Obtain the appearance data of each fish in the aquaculture area at each growth stage, and then analyze the appearance growth compliance index of each fish in the aquaculture area.

[0039] In the above embodiment, the various stages of fish in the aquaculture area are identified, and the specific analysis method is as follows: three-dimensional images of fish at various growth stages are stored in the data warehouse, and the three-dimensional images are cut to obtain the mouth shape, gill shape, back shape and tail shape, and the corresponding three-dimensional contours, shapes and scale distribution densities of each fish at each growth stage are matched, so as to identify the various stages of fish in the aquaculture area.

[0040] In the above embodiment, the appearance growth compliance index of each fish in the aquaculture area is specifically analyzed by the following method: the appearance data of each fish in the aquaculture area at each growth stage includes the spinal curvature deviation value, the number of scales falling off, the amount of mucus, and the gloss value of each fish at each growth stage; and the spinal curvature deviation compliance value interval, the scales falling off compliance interval, the mucus compliance interval, and the gloss compliance value interval of each fish in the aquaculture area at each growth stage are extracted from the database, and then the appearance growth compliance index of each fish in the aquaculture area is analyzed. The specific calculation formula is: , The first The first Shape data, Indicates the aquaculture area The safety interval of the shape data, , Indicates the number of the fish. , Expressed as the number of fish.

[0041] Step 2: Weight collection and analysis: The weight of each fish in the aquaculture area is recorded through the weighing system, and the weight impact data of each fish in the aquaculture area is obtained through the detection platform, so as to evaluate the weight growth compliance index of each fish in the aquaculture area.

[0042] In the above embodiment, the weight growth index of each fish in the aquaculture area is analyzed in detail as follows: the weight impact data of each fish in the aquaculture area includes the living water quality data and living space data of each fish, and then the water quality impact value of each fish in the aquaculture area is analyzed. and spatial impact value , to evaluate the weight growth compliance index of each fish in the aquaculture area, the specific calculation formula is: .

[0043] In the above embodiment, the specific analysis method of the water quality impact value of the aquaculture area is as follows: based on the obtained survival water quality data of each fish in the aquaculture area, wherein the survival water quality data includes: the maximum water temperature, the minimum water temperature and the dissolved oxygen content in each time period, the maximum water temperature and the minimum water temperature of each fish in the aquaculture area in each time period are subjected to difference processing to obtain the survival water temperature difference of each fish in the aquaculture area in each time period, and the preset survival water temperature reference difference and dissolved oxygen reference content of each fish in the aquaculture area in each time period are extracted from the database to analyze the water quality impact value of each fish in the aquaculture area. The specific calculation formula is: ,in, Indicates the first The first The difference in water temperature during the survival period, Indicates the first The first The reference difference of water temperature for survival in each time period, Indicates the first The dissolved oxygen content required for the survival of fish species, Indicates the first The reference dissolved oxygen content for the survival of fish species, It is represented as the number of the time period. , Expressed as the number of time periods.

[0044] In the above embodiment, the spatial impact value of each fish in the aquaculture area is specifically analyzed by: based on the obtained living space data of each fish in the aquaculture area, wherein the spatial data includes: the breeding density of each fish, the difference between the suitable breeding density of each fish is extracted from the database, and the breeding density of each fish in the aquaculture area is processed by difference processing with the suitable breeding density to analyze the spatial impact value of each fish in the aquaculture area. The specific calculation formula is: ,in, Indicates the first The difference in stocking density of fish species, Indicates the first The difference in reference density of fish stocks.

[0045] In the above embodiment, the growth status index of each fish in the aquaculture area is evaluated using the following specific calculation formula: .

[0046] In step 1, shape measurement and analysis, and step 2, weight collection and analysis, the three-dimensional shape of each fish in the aquaculture area is recorded by a depth camera, each stage of each fish in the aquaculture area is identified, the shape growth compliance index of each fish in the aquaculture area is analyzed, and the weight of each fish in the aquaculture area is recorded by a weighing system. The weight growth compliance index of each fish in the aquaculture area is evaluated. Combined with the shape growth compliance index analysis, the growth rate and change trend of fish in different growth stages can be intuitively understood, which helps to timely discover individuals or groups with abnormal growth. Combined with the weight growth compliance index, by monitoring the weight and analyzing the weight growth compliance index, the breeder can timely understand whether the growth space of the fish is sufficient, and can timely adjust the breeding density to avoid health problems of the fish due to excessive density, provide a good growth environment for the fish, reduce breeding losses, and take corresponding treatment measures in time to prevent the spread and spread of diseases.

[0047] Step 3: Data processing: Based on the obtained appearance growth compliance index and weight growth compliance index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is evaluated, and it is determined whether the growth status of each fish is abnormal. If abnormal, the growth abnormality data of each fish is obtained, the living environment index of each fish in the aquaculture area is evaluated, and environmental improvement treatment is carried out.

[0048] In the above embodiment, the specific analysis method for determining whether the growth status of each fish is abnormal is as follows: based on the obtained growth status index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is compared with the growth status index threshold of each fish in the aquaculture area extracted from the database; if the growth status index of a certain fish in the aquaculture area is less than the growth status index threshold of each fish in the aquaculture area, it means that the growth status of the fish is abnormal, and the abnormal growth status data of each fish is collected.

[0049] In the above embodiment, the living environment index of each fish in the aquaculture area is evaluated and the environmental improvement treatment is performed. The specific analysis method is as follows: the abnormal growth condition data of each fish includes the feeding frequency, the number of buoyancy and the gill filament integrity value of each fish, and the feeding frequency compliance interval, the buoyancy number compliance interval and the gill filament integrity value compliance interval of each fish in the aquaculture area are extracted from the database, and then the living environment index of each fish in the aquaculture area is analyzed. The specific calculation formula is: , The first The first Growth abnormality data, Indicates the aquaculture area The safety interval of abnormal growth data, .

[0050] It should be noted that the feeding frequency and number of migrations of various fish species in the aquaculture area are monitored by cameras and counters installed in the aquaculture area.

[0051] It should be noted that the gill filament integrity value of each fish in the aquaculture area is obtained by importing images of each fish collected in the breeding area, recording the location, degree and range of the gill filament damage of each fish. If a small amount of defect is found at the edge of the gill filament, it can be recorded as a mild defect at the edge of the gill filament; if the gill filament is obviously broken and accompanied by congestion, it is recorded as multiple gill filament breaks and congestion. Based on the observed gill filament condition, the gill filament integrity value of each fish is evaluated and averaged to obtain the gill filament integrity difference of each fish, which is used as the gill filament integrity value of each fish in the aquaculture area.

[0052] When the living environment index of each fish in the aquaculture area is less than the living environment index threshold of each fish in the aquaculture area, the fish in the aquaculture area will be recorded as risk fish, and the risk fish set in the breeding area will be obtained by analysis. When the living environment index of each fish in the aquaculture area is greater than or equal to the living environment index threshold of each fish in the aquaculture area, the fish in the aquaculture area will be recorded as regular fish. When the appearance growth of each fish in the aquaculture area meets the index of -1, the fish in the aquaculture area will be recorded as regular fish, and the regular fish set in the breeding area will be obtained by analysis.

[0053] A set of suitable water environment indexes for risk fish and conventional fish in the aquaculture area is extracted from the database, and a set of water environment regulation parameters for the aquaculture area is predicted, wherein the set of water environment regulation parameters includes the regulation range of each water environment index.

[0054] It should be noted that the control range of each environmental indicator includes the water quality impact value, spatial impact value and appearance growth compliance index of each fish in the aquaculture area.

[0055] Reference Figure 2 As shown, the present invention provides a portable system for collecting fish shape and weight information, which is characterized by including: a shape measurement and analysis module: using a depth camera to record the three-dimensional shape of each fish in the aquaculture area, using image analysis software to import the collected images of each fish, and using the measurement tools in the software in combination with the ruler on the background board to identify the various stages of each fish in the aquaculture area, thereby obtaining the shape data of each fish in the aquaculture area, and then analyzing the shape growth compliance index of each fish in the aquaculture area.

[0056] Weight collection and analysis module: The weight of each fish in the aquaculture area is recorded through the weighing system, and the weight impact data of each fish in the aquaculture area is obtained through the detection platform, so as to evaluate the weight growth compliance index of each fish in the aquaculture area.

[0057] Data processing module: Based on the obtained appearance growth compliance index and weight growth compliance index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is evaluated, and it is determined whether the growth status of each fish is abnormal. If abnormal, the growth abnormality data of each fish is obtained, the living environment index of each fish in the aquaculture area is evaluated, and environmental improvement treatment is carried out.

[0058] In step three, data processing: evaluate the growth status index of each fish in the aquaculture area, and determine whether the growth status of each fish is abnormal. If abnormal, evaluate the living environment index of each fish in the aquaculture area, accurately identify the environmental factors that affect the growth of fish, and carry out environmental improvement treatment to create more suitable living and growth conditions for fish, promote fish growth, improve breeding output and quality, adjust the breeding environment in time, avoid slow growth or death of fish due to environmental discomfort, thereby reducing the waste of breeding resources such as feed and water resources and reducing breeding costs.

[0059] It should be noted that the database is used to store three-dimensional images of various fish at various growth stages, spinal curvature deviation compliance value intervals of various fish in aquaculture areas at various growth stages, scale shedding compliance intervals, mucus quantity compliance intervals, gloss compliance value intervals, water temperature reference differences for survival of various fish in preset breeding areas in various time periods, dissolved oxygen reference content, suitable breeding density differences for various fish, growth status index thresholds for various fish in aquaculture areas, feeding frequency compliance intervals of various fish in aquaculture areas, planktonic number compliance intervals, gill filament integrity compliance intervals, sets of risky fish in breeding areas, and sets of suitable water environment control indicators for various conventional fish sets.

[0060] It should be noted that the shape measurement and analysis module is connected to the weight collection and analysis module, the weight collection and analysis module is connected to the data processing module, the shape measurement and analysis module is connected to the database, the weight collection and analysis module is connected to the database, and the data processing module is connected to the database.

[0061] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A portable method for collecting fish shape and weight information, characterized in that: include: Step 1: Appearance measurement and analysis: Use a depth camera to record the three-dimensional appearance of each fish in the aquaculture area. Use image analysis software to import the collected images of each fish. Use the measurement tools in the software, combined with the ruler on the background board, to identify the various stages of each fish in the aquaculture area. Obtain the appearance data of each fish in the aquaculture area at each growth stage, and then analyze the appearance growth compliance index of each fish in the aquaculture area; The appearance data of each fish in the aquaculture area at each growth stage include the spinal curvature deviation value, the number of scales falling off, the amount of mucus, and the gloss value of each fish at each growth stage, and the spinal curvature deviation compliance value interval, the scales falling off compliance interval, the mucus compliance interval, and the gloss compliance value interval of each fish in the aquaculture area at each growth stage are extracted from the database, and then the appearance growth compliance index of each fish in the aquaculture area is analyzed; Step 2: Weight collection and analysis: The weight of each fish in the aquaculture area is recorded through the weighing system, and the weight impact data of each fish in the aquaculture area is obtained through the detection platform, thereby evaluating the weight growth compliance index of each fish in the aquaculture area; The weight impact data of each fish in the aquaculture area includes the living water quality data and living space data of each fish, and then analyzes the water quality impact value of each fish in the aquaculture area. and spatial impact value , to evaluate the weight growth compliance index of each fish in the aquaculture area, the specific calculation formula is: ; Step 3: Data processing: Based on the obtained appearance growth compliance index and weight growth compliance index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is evaluated, and whether the growth status of each fish is abnormal is determined. If abnormal, the abnormal growth status data of each fish is obtained, the living environment index of each fish in the aquaculture area is evaluated, and environmental improvement measures are performed; The abnormal growth condition data of each fish include the feeding frequency, floating number and gill filament integrity value of each fish, and the feeding frequency compliance interval, floating number compliance interval and gill filament integrity value compliance interval of each fish in the aquaculture area are extracted from the database, and then the living environment index of each fish in the aquaculture area is analyzed; When the living environment index of each fish in the aquaculture area is less than the living environment index threshold of each fish in the aquaculture area, the fish in the aquaculture area is recorded as each risk fish, and the risk fish set of the aquaculture area is obtained by analysis; when the living environment index of each fish in the aquaculture area is greater than or equal to the living environment index threshold of each fish in the aquaculture area, the fish in the aquaculture area is recorded as each normal fish, and the normal fish set of the aquaculture area is obtained by analysis; A set of suitable water environment indexes for risk fish and conventional fish in the aquaculture area is extracted from the database, and a set of water environment regulation parameters for the aquaculture area is predicted, wherein the set of water environment regulation parameters includes the regulation range of each water environment index.

2. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The specific analysis method for identifying the various stages of fish in the aquaculture area is as follows: The data warehouse stores three-dimensional images of fish at various growth stages, and cuts the three-dimensional images to obtain the mouth shape, gill shape, back shape and tail shape, matching the corresponding three-dimensional contours, shapes and scale distribution density of each fish at each growth stage, and then identifying the various stages of each fish in the aquaculture area.

3. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The growth index of each fish species in the aquaculture area is calculated as follows: , The first The first fish Shape data, Indicates the aquaculture area The safety interval of the shape data, , Indicates the number of the fish. , Expressed as the number of fish.

4. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The specific analysis method of the water quality impact value of the aquaculture area is as follows: Based on the obtained survival water quality data of each fish in the aquaculture area, wherein the survival water quality data includes: the maximum water temperature, the minimum water temperature and the dissolved oxygen content in each time period, the maximum water temperature and the minimum water temperature of each fish in the aquaculture area in each time period are subjected to difference processing to obtain the survival water temperature difference of each fish in the aquaculture area in each time period, and the preset survival water temperature reference difference and dissolved oxygen reference content of each fish in the aquaculture area in each time period are extracted from the database to analyze the water quality impact value of each fish in the aquaculture area. The specific calculation formula is: ,in, Indicates the first The first fish The difference in water temperature during the survival period, Indicates the first The first fish The reference difference of water temperature for survival in each time period, Indicates the first The dissolved oxygen content required for the survival of fish species, Indicates the first The reference dissolved oxygen content for the survival of fish species, It is represented as the number of the time period. , Expressed as the number of time periods.

5. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The specific analysis method of the spatial impact value of each fish in the aquaculture area is as follows: Based on the obtained living space data of each fish in the breeding area, where the spatial data includes: the breeding density of each fish, the suitable breeding density of each fish is extracted from the database, and the breeding density of each fish in the breeding area is subtracted from the suitable breeding density to analyze the spatial impact value of each fish in the aquaculture area. The specific calculation formula is: ,in, Indicates the first The stocking density of fish, Indicates the first Reference stocking density for fish species.

6. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The specific calculation formula for evaluating the growth status index of each fish in the aquaculture area is: .

7. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The specific analysis method for determining whether the growth status of each fish is abnormal is as follows: Based on the obtained growth status index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is compared with the growth status index threshold of each fish in the aquaculture area extracted from the database. If the growth status index of a certain fish in the aquaculture area is less than the growth status index threshold of each fish in the aquaculture area, it means that the growth status of the fish is abnormal, and the abnormal growth status data of each fish is collected.

8. A portable method for collecting fish shape and weight information according to claim 1, characterized in that: The specific calculation formula of the living environment index of each fish in the aquaculture area is: , The first The first fish Growth abnormality data, Indicates the aquaculture area The safety interval of abnormal growth data, .

9. A system for executing the portable method for collecting fish shape and weight information according to any one of claims 1 to 8, characterized in that: include: Appearance measurement and analysis module: Use a depth camera to record the three-dimensional appearance of each fish in the aquaculture area. Use image analysis software to import the collected images of each fish. Use the measurement tools in the software, combined with the ruler on the background board, to identify the various stages of each fish in the aquaculture area, obtain the appearance data of each fish in the aquaculture area, and then analyze the appearance growth index of each fish in the aquaculture area; Weight collection and analysis module: The weight of each fish in the aquaculture area is recorded through the weighing system, and the weight impact data of each fish in the aquaculture area is obtained through the detection platform, thereby evaluating the weight growth compliance index of each fish in the aquaculture area; Data processing module: Based on the obtained appearance growth compliance index and weight growth compliance index of each fish in the aquaculture area, the growth status index of each fish in the aquaculture area is evaluated, and it is determined whether the growth status of each fish is abnormal. If abnormal, the growth abnormality data of each fish is obtained, the living environment index of each fish in the aquaculture area is evaluated, and environmental improvement treatment is carried out.

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